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S. M. Ali Zeinolabedin
S. M. Ali Zeinolabedin
Post-doc researcher @ University of Utah, ASIC Designer in BlackRock Neurotech
Verified email at utah.edu - Homepage
Title
Cited by
Cited by
Year
An Area-Efficient 128-Channel Spike Sorting Processor for Real-Time Neural Recording With W/Channel in 65-nm CMOS
AT Do, SMA Zeinolabedin, D Jeon, D Sylvester, TTH Kim
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (1), 126-137, 2018
442018
A 16-Channel Fully Configurable Neural SoC With 1.52 W/Ch Signal Acquisition, 2.79 W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural …
SMA Zeinolabedin, FM Schüffny, R George, F Kelber, H Bauer, S Scholze, ...
IEEE Transactions on Biomedical Circuits and Systems 16 (1), 94-107, 2022
362022
A 128-Channel Spike Sorting Processor Featuring 0.175 µW and 0.0033 mm2 per Channel in 65-nm CMOS
SMA Zeinolabedin, AT Do, D Jeon, D Sylvester, TH Kim
Symposium on VLSI Circuits, 2016
292016
Real-time hardware implementation of arm coresight trace decoder
SMA Zeinolabedin, J Partzsch, C Mayr
IEEE Design & Test 38 (1), 69-77, 2020
132020
Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits
SMA Zeinolabedin, AT Do, KS Yeo, TTH Kim
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 794-797, 2015
122015
Energy-efficient data-aware SRAM design utilizing column-based data encoding
AT Do, SMA Zeinolabedin, TTH Kim
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (10), 2154-2158, 2019
112019
An area-and energy-efficient FIFO design using error-reduced data compression and near-threshold operation for image/video applications
SMA Zeinolabedin, J Zhou, X Liu, TTH Kim
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (11 …, 2014
102014
A 64-channel back-gate adapted ultra-low-voltage spike-aware neural recording front-end with on-chip lossless/near-lossless compression engine and 3.3 v stimulator in 22nm fdsoi
FM Schüffny, SMA Zeinolabedin, R George, L Guo, A Weiße, J Uhlig, ...
2022 IEEE Asian Solid-State Circuits Conference (A-SSCC), 1-3, 2022
82022
Low computational complexity hardware implementation of Laplacian Pyramid
SMA Zeinolabedin, N Karimi, S Samavi
2010 18th Iranian Conference on Electrical Engineering, 465-470, 2010
82010
An Ultra-Low Area Digital-Assisted Neuro Recording System in 22nm FDSOI Technology
F Schüffny, S Höppner, S Hänzsche, RM George, SMA Zeinolabedin, ...
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
72021
Analyzing ARM CoreSight ETMV4.X Data Trace Stream with a Real-Time Hardware Accelerator
SMA Zeinolabedin, J Partzsch, C Mayr
Design, Automation and Test in Europe Conference, 2021
52021
Contourlet based image compression using controlled modification of coefficients
N Karimi, S Samavi, S Shirani, H Talebi, SMA Zaynolabedin
2009 Canadian Conference on Electrical and Computer Engineering, 991-994, 2009
52009
Various distance metrics evaluation on neural spike classification
S Guo, L Guo, SMA Zeinolabedin, C Mayr
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 554-558, 2022
42022
A 0.3 PJ/access 8T data-aware SRAM utilizing column-based data encoding for ultra-low power applications
AT Do, SMA Zeinolabedin, TT Kim
2016 IEEE Asian Solid-State Circuits Conference (A-SSCC), 173-176, 2016
42016
Ultra-low Power and Area-efficient Hardware Accelerator for Adaptive Neural Signal Compression
Q Ma, L Guo, SMA Zeinolabedin, C Mayr
IEEE Biomedical Circuits and Systems Conference (BioCAS), 2021
32021
An area-and power-efficient FIFO with error-reduced data compression for image/video processing
SMA Zeinolabedin, J Zhou, X Liu, TT Kim
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2277-2280, 2014
32014
A new quantization algorithm for fir filters coefficients
SMA Zeinolabedin, N Karimi
20th Iranian Conference on Electrical Engineering (ICEE2012), 1120-1124, 2012
32012
68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI
L Guo, A Weiße, SMA Zeinolabedin, FM Schüffny, M Stolba, Q Ma, ...
Frontiers in Neuroscience 18, 1432750, 2024
22024
A 3.3 V Saturation-Aware Neurostimulator with Reset Functionality in 22 nm FDSOI
FM Schüffny, S Hänzsche, S Henker, SMA Zeinolabedin, S Scholze, ...
2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), 1-5, 2023
22023
A 16-channel Real-time Adaptive Neural Signal Compression Engine in 22nm FDSOI
L Guo, SMA Zeinolabedin, FM Schüffny, A Weiße, S Scholze, R George, ...
2023 21st IEEE Interregional NEWCAS Conference (NEWCAS), 1-5, 2023
22023
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